Analysis of Spatio-temporal Characteristics of Vegetation Cover and Water Production Services in the Yellow River Basin

YAN Yifei; BAI Qiang; SUN Hu; WANG Ning; LAO Xianran

doi:10.13870/j.cnki.stbcxb.2024.01.002

您当前的位置：

首页 >

文章列表页 >

Analysis of Spatio-temporal Characteristics of Vegetation Cover and Water Production Services in the Yellow River Basin

更新时间：2025-03-12

- Analysis of Spatio-temporal Characteristics of Vegetation Cover and Water Production Services in the Yellow River Basin
- Vol. 38, Issue 1, Pages: 130-139(2024)
- 作者机构：
  
  1. 陕西师范大学地理科学与旅游学院,西安,710119
  2. 神木市自然资源和规划局, 陕西神木,719399
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2024.01.002
  CLC： Q948.1
- Published：2024
- 稿件说明：
移动端阅览
YAN Yifei, BAI Qiang, SUN Hu, et al. Analysis of Spatio-temporal Characteristics of Vegetation Cover and Water Production Services in the Yellow River Basin[J]. 2024, 38(1): 130-139.
DOI：

YAN Yifei, BAI Qiang, SUN Hu, et al. Analysis of Spatio-temporal Characteristics of Vegetation Cover and Water Production Services in the Yellow River Basin[J]. 2024, 38(1): 130-139. DOI： 10.13870/j.cnki.stbcxb.2024.01.002.

摘要

[目的] 黄河流域是我国重要的生态保护屏障

但其生态环境脆弱

研究黄河流域植被变化与产水服务之间的关系

为其生态建设和高质量发展提供保障。[方法] 基于NDVI数据和InVEST模型

采用趋势分析和相关分析方法

将植被变化与水源供给服务相结合

对2001—2020年黄河流域NDVI与产水服务的时序变化和空间特征进行分析

研究NDVI与产水服务的趋势变化和相互关系。[结果] (1)黄河流域NDVI与产水深度均呈现增加趋势

增速分别为0.05 /10

18.215 mm/10 a

NDVI以明显增长为主

产水深度则以不明显增长为主

此外

流域产水量也不断增长。(2)NDVI与产水深度联系紧密

二者在时间上呈显著正相关

Abstract

[Objective] The Yellow River Basin is an important ecological protection barrier in China

but its ecological environment is fragile. Studying the relationship between vegetation changes and water production services in the Yellow River Basin provides guarantees for its ecological construction and high-quality development. [Methods] Based on NDVI data and InVEST model

trend analysis and correlation analysis methods were used to combine vegetation change with water supply services. The temporal and spatial characteristics of NDVI and water production services in the Yellow River Basin from 2001 to 2020 were analyzed

and the trend changes and interrelationships between NDVI and water production services were studied. [Results] (1) The NDVI and water production depth of the Yellow River basin showed an increasing trend

with the growth rate of 0.05/10 a and 18.215 mm/10 a respectively. The NDVI was mainly showing a significant increase

while the water production depth was mainly showing an insignificant increase. In addition

the water production in the basin was also continuously increasing. (2) NDVI was closely related to water production depth

and there was a significant positive correlation between the two in terms of time

with a correlation coefficient of 0.75 (p <0.01). The spatial differentiation showed a positive correlation in the northeast and a negative correlation in the southwest. (3) The rate of increase in water production depth was highest under higher vegetation coverage

and NDVI was mainly positively correlated with water production depth under different vegetation coverage. However

as vegetation coverage increased

the proportion of negative correlation between NDVI and water production depth continued to increase. At present

the impact of NDVI on water production under various vegetation cover levels is positive

but as vegetation cover increases

its negative impact on water production depth will continue to increase. [Conclusion] In recent years

NDVI and water production services in the Yellow River Basin have shown a growth trend and are closely related. Currently

vegetation restoration still shows a positive effect on water production

but it should be noted that excessive vegetation restoration can have a negative impact on vegetation growth. Moderate vegetation restoration is beneficial for water production services in the Yellow River Basin.

关键词

Keywords

references

巩灿娟,徐成龙,张晓青.黄河中下游沿线城市水资源利用效率的时空演变及影响因素[J].地理科学,2020,40(11):1930-1939. GONG C J, XU C L, ZHANG X Q. Spatio-temporal evolution and influencing factors of water resources utilization efficiency of cities along the middle and lower reaches of the Yellow River[J].Scientia Geographica Sinica,2020,40(11):1930-1939.

孙才志,谢巍.中国产业用水变化驱动效应测度及空间分异[J].经济地理,2011,31(4):666-672. SUN C Z, XIE W. Measurement of the driving effects on industrial water utilization change and its spatial difference analysis in China[J]. Economic Geography, 2011,31(4):666-672.

WANG W W, LIU X, ZHANG M, et al. Using a new generalized LMDI (logarithmic mean divisia index) method to analyze China's energy consumption[J].Energy,2014,67:617-622.

LIN B Q, XU M M. Regional differences on CO

emission efficiency in metallurgical industry of China[J]. Energy Policy, 2018,120:302-311.

XU Y J, HUANG K, YU Y J, et al. Changes in water footprint of crop production in Beijing from 1978 to 2012:A logarithmic mean divisia index decomposition analysis[J].Journal of Cleaner Production,2015,87(1):180-187.

陈东景.中国工业水资源消耗强度变化的结构份额和效率份额研究[J].中国人口·资源与环境, 2008,18(3):211-214. CHEN D J. Structure share and efficiency share of industrial water consumption intensity change in China[J]. China Population Resources and Environment, 2008,18(3):211-214.

吴厚纯,王成军,费喜敏.浙江省耕地数量变化的因素分解分析[J].浙江农林大学学报,2015,32(6):933-939. WU H C, WANG C J, FEI X M. Factor decomposition study of farmland change in Zhejiang Province[J].Journal of Zhejiang A&F University,2015,32(6):933-939.

王桂民,陈聪,曹光乔,等.中国耕地流转时空特征及影响因素分解[J].农业工程学报,2017,33(1):1-7. WANG G M, CHEN C, CAO G Q, et al. Spatial-temporal characteristics and influential factors decomposition of farmland transfer in China[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(1):1-7.

潘丹,应瑞瑶.中国水资源与农业经济增长关系研究:基于面板VAR模型[J].中国人口·资源与环境,2012,22(1):161-166. PAN D, YING R Y. Relationship between water resource and agricultural economic growth in China: Research based on panel VAR[J].China Population,Resources and Environment, 2012,22(1):161-166.

华坚,张瑶瑶,王丹,等.西北五省水资源消耗对经济增长的影响[J].水利经济, 2018,36(4):1-6,75. HUA J, ZHANG Y Y, WANG D, et al. Effect of consumption of water resources on economic growth of five provinces in Northwest China[J].Journal of Economics of Water Resources, 2018,36(4):1-6,75.

魏玮.基于VAR模型的湖北省水资源利用与经济增长的动态关系研究[J]. 特区经济, 2022(9):65-68. WEI W. Dynamic interaction between water resources utilization and economic growth in Hubei Province based on VAR model[J].Special Zone Economy, 2022(9):65-68.

孙付华,杨一帆,沈菊琴,等.基于水足迹-LMDI模型的江苏省水资源利用与经济发展的脱钩关系研究[J].江苏社会科学,2020(6):233-240. SUN F H, YANG Y F, SHEN J Q, et al. Study on the decoupling relationship between water resources utilization and economic development in Jiangsu Province based on water footprint-LMDI model[J].Jiangsu Social Sciences, 2020(6):233-240.

章恒全,徐甜甜,张陈俊.长江三角洲地区工业用水量与经济增长的脱钩研究[J].资源与产业, 2022,24(1):115-125. ZHANG H Q, XU T T, ZHANG C J. Decoupling study on industrial water use and economic development in Yangtze River Delta region[J].Resources and Industries,2022,24(1):115-125.

侯爰冰,李长春,聂龑,等.甘肃省水资源利用与经济增长的脱钩效应及驱动因素分析[J]. 水利水电技术(中英文), 2022,53(5):55-64. HOU Y B, LI C C, NIE Y, et al. Analysis on decoupling effect and driving factors between water resources utilization and economic growth in Gansu Province[J].Water Resources and Hydropower Engineering, 2022,53(5):55-64.

KUMAR P, AGGARWAL S C. Does an environmental Kuznets curve exist for changing land use? Empirical evidence from major states of India[J].International Journal of Sustainable Development, 2003,6(2):e231.

李彦旻,沈育生,王世航.基于土地利用变化的安徽省陆地碳排放时空特征及效应[J].水土保持学报,2022,36(1):182-188. LI Y M, SHEN Y S, WANG S H. Spatio-temporal characteristics and effects of terrestrial carbon emissions based on land use change in Anhui Province[J].Journal of Soil and Water Conservation, 2022,36(1):182-188.

朱纪广,许家伟,李小建,等.中国土地城镇化和人口城镇化对经济增长影响效应分析[J].地理科学, 2020,40(10):1654-1662. ZHU J G, XU J W, LI X J, et al. Impact of land urbanization and population urbanization on economic growth in China[J].Scientia Geographica Sinica,2020,40(10):1654-1662.

陈伊多,杨庆媛.西藏自治区土地利用/覆被变化时空演变特征及驱动因素[J].水土保持学报,2022,36(5):173-180. CHEN Y D, YANG Q Y. Temporal and spatial characteristics and driving factors of land use/cover change in Tibet Autonomous Region[J].Journal of Soil and Water Conservation, 2022,36(5):173-180.

田文佳,程宇丹,龚六堂.基于土地视角的中国城乡结构转型与经济增长[J].经济学, 2021,21(3):909-930. TIAN W J, CHENG Y D, GONG L T. China's urban-rural structural change and economic growth from land perspective[J].China Economic,2021,21(3):909-930.

江晓波,马泽忠,曾文蓉,等.三峡地区土地利用/土地覆被变化及其驱动力分析[J].水土保持学报, 2004,18(4):108-112. JIANG X B, MA Z Z, ZENG W R, et al. Land-use/cover change process and driving force analysis in Three Gorges Area[J].Journal of Soil Water Conservation,2004,18(4):108-112.

王翔宇,高培超,宋长青,等.不同尺度下城市用地扩张与经济增长的脱钩关系:以山东省为例[J].经济地理,2021,41(3):97-104,125. WANG X Y, GAO P C, SONG C Q, et al. Decoupling analysis between urban land expansion and economic growth at the different scale: A case study of Shandong Province in China[J]. Economic Geography, 2021,41(3):97-104,125.

ANG B, ZHANG F, CHOI K. Factorizing changes in energy and environmental indicators through decomposition[J]. Energy, 1998,23(6):489-495.

李永乐,吴群.经济增长与耕地非农化的Kuznets曲线验证:来自中国省际面板数据的证据[J]. 资源科学, 2008,30(5):667-672. LI Y L, WU Q. Validation of kuznets curve for economic growth and cultivated land conversion: Evidence from provincial panel data in China[J]. Resources Science, 2008,30(5):667-672.

河南省统计局. 河南省统计年鉴(2010—2019).https://tjj.henan.gov.cn/tjfw/tjcbw/tjnj/. Henan Provincial Bureau of Statistics.Henan Statistical Yearbook(2010—2019).https://tjj.henan.gov.cn/tjfw/tjcbw/tjnj/.

山西省统计局. 山西省统计年鉴(2010—2019).http://tjj.shanxi.gov.cn/sxsj-show/year Data. Shanxi Provincial Bureau of Statistics.Shanxi Statistical Yearbook(2010—2019).http://tjj.shanxi.gov.cn/sxsj-show/yearData.

陕西省统计局.陕西省统计年鉴(2010—2019).http://tjj.shaanxi.gov.cn/tjsj/ndsj/tjnj/. Shaanxi Provincial Bureauof Statistics.Shaanxi Statistical Yearbook(2010—2019).http://tjj.shaanxi.gov.cn/tjsj/ndsj/tjnj/.

河南省水利厅.河南省水资源公报(2010—2019). https://slt.henan.gov.cn/bmzl/szygl/szygb/. Henan Provincial Department of Water Resources. Henan Water Resources Bulletin (2010—2019). https://slt.henan.gov.cn/bmzl/szygl/szygb/.

山西省水利厅.山西省水资源公报(2010—2019). http://slt.shanxi.gov.cn/zncs/szyc/szygb/. Shanxi Provincial Department of Water Resources. Shanxi Water Resources Bulletin (2010—2019). http://slt.shanxi.gov.cn/zncs/szyc/szygb/.

陕西省水利厅.陕西省水资源公报(2010—2019). http://slt.shaanxi.gov.cn/zfxxgk/fdzdgknr/zdgz/szygb/. Shaanxi Provincial Department of Water Resources. Shaanxi Provincial Water Resources Bulletin (2010—2019).http://slt.shaanxi.gov.cn/zfxxgk/fdzdgknr/zdgz/szygb/.

贾绍凤,张士锋,夏军,等.经济结构调整的节水效应[J].水利学报,2004(3):111-116. JIA S F,ZHANG S F, XIA J,et al.Water-saving effect of economic restructuring[J].Journal of Hydraulic Engineering,2004(3):111-116.

国家统计局,生态环境部. 中国环境统计年鉴[M].北京:中国统计出版社,2010-2019. National Bureau of Statistics, Ministry of Ecology and Environment. China Environmental Statistics Yearbook[M]. Beijing: China Statistical Publishing House,2010-2019.

中华人民共和国住房和城乡建设部. 中国城乡建设统计年鉴(2010年)[M]. 北京: 中国计划出版社, 2010—2019. Ministry of Housing and Urban-Rural Development of the People's Republic of China. China's Urban Construction Statistical Yearbook[M]. Beijing: China Statistical Publishing House,2010—2019.

卢新海,李佳,刘超,等.中国城市土地绿色利用效率驱动因素及空间分异[J].地理科学,2022,42(4):611-621. LU X H, LI J, LIU C, et al.Driving factors and spatial differentiation of urban land green utilization efficiency in China[J].Scientia Geographica Sinica,2022,42(4):611-621.

Views

926

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Effects of Multi-time Scale Meteorological Drought on Vegetation in the Yellow River Basin from 1982 to 2020

Spatiotemporal Evolution and Prediction of Water Conservation Capacity in Kuye River Basin Based on InVEST and CA-Markov Models

Spatiotemporal Evolution of Trade-off and Synergy Relationship between Water Conservation and Soil Retention Functions in Erhai Lake Basin

Ecological Evolution and Driving Forces in Yellow River Basin Based on RSEI Model

Progress， Research Frontiers， and Directions of Ecological Engineering Research in Yellow River Basin

Related Author

LI Yangyang

DONG Guotao

XUE Huazhu

ZHENG Yanchao

LIAN Yaokang

GAO Haosong

QIN Fucang

WU Yihan

Related Institution

School of Surveying and Land Information Engineering, Henan Polytechnic University

Yellow River Conservancy Commission, Yellow River Institute of Hydraulic Research

Heihe Water Resources and Ecological Protection Research Center

College of Desert Management， Inner Mongolia Agricultural University

Inner Mongolia Academy of Forestry Sciences

⁰